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Graphs in machine learning: an introduction

Graphs in machine learning: an introduction

23 June 2015
Pierre Latouche
F. Rossi
    GNNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Graphs in machine learning: an introduction"

5 / 5 papers shown
Title
Generalized Permutants and Graph GENEOs
Generalized Permutants and Graph GENEOs
Faraz Ahmad
M. Ferri
Patrizio Frosini
69
4
0
29 Jun 2022
On some studies of Fraud Detection Pipeline and related issues from the
  scope of Ensemble Learning and Graph-based Learning
On some studies of Fraud Detection Pipeline and related issues from the scope of Ensemble Learning and Graph-based Learning
Tuan Tran
FaML
13
1
0
10 May 2022
Open challenges for Machine Learning based Early Decision-Making
  research
Open challenges for Machine Learning based Early Decision-Making research
A. Bondu
Youssef Achenchabe
Albert Bifet
Fabrice Clérot
Antoine Cornuéjols
João Gama
Georges Hébrail
V. Lemaire
P. Marteau
AI4CE
52
9
0
27 Apr 2022
Quantifying and Understanding Adversarial Examples in Discrete Input
  Spaces
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces
Volodymyr Kuleshov
Evgenii Nikishin
S. Thakoor
Tingfung Lau
Stefano Ermon
AAML
74
1
0
12 Dec 2021
A Regularized Attention Mechanism for Graph Attention Networks
A Regularized Attention Mechanism for Graph Attention Networks
U. Shanthamallu
Jayaraman J. Thiagarajan
A. Spanias
OODGNN
52
17
0
01 Nov 2018
1